hero

Queering the tech ecosystem!

Connecting our community to great opportunities

Data Scientist II

Microsoft

Microsoft

Data Science
Posted on Aug 1, 2025

Data Scientist II

Hyderabad, Telangana, India

Save

Share job

Date posted
Aug 01, 2025
Job number
1854623
Work site
Up to 50% work from home
Travel
0-25 %
Role type
Individual Contributor
Profession
Research, Applied, & Data Sciences
Discipline
Data Science
Employment type
Full-Time

Overview

Are you a real Machine Learning enthusiast? Does the magic of the data world fascinate you? Here at Microsoft Search we have been working on Machine Learning much before it became cool to do so. Here we are solving real world problems to empower millions of people around the globe.


Microsoft Search powers delightful and relevant experiences for enterprise users to cater to their overall information need. As part of this team, you would get a chance to work on the core search stack powering all Copilot Search scenarios.

We are looking for candidates who can help build the next generation Machine Learning system. Candidates are expected to be hands on and experienced on data mining, ranking, clustering, recommendation systems.

As a Data Scientist II in the team, you will be working on challenging problems, demonstrate quantifiable end user impact through product quality improvements and share learnings with the team.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications

Required Qualification:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND +2 year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical tec
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 4+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec
    • OR equivalent experience.
  • 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.
  • 2+ years of experience in Data Science, Machine Learning, Software Engineering.
  • Hands on experience of implementing and shipping production quality Machine Learning models or Data pipelines.
  • Prior work/research experience in Search domain is preferable.

Preferred Qualifications:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,
    • OR related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,
    • OR related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,
    • OR related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.

#M365Core

Responsibilities

Some of the specific search relevance areas that the team is focused on are:

  • End to end ranking of search results
  • Personalization of search results
  • LLM applications to Search problems
  • Experiment with State of the Art encoding/decoding architectures for Search
  • Document Text/Passage extraction and understanding
  • Compliance and Privacy aware Machine Learning training pipelines at scale


Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.